3 months ago
Lisbon, PortugalEntry Level
Responsibilities
- Build and improve machine-learning components across data, training, evaluation, and inference.
- Fine-tune and adapt models within larger production systems.
- Implement evaluation and testing to understand model behavior.
- Build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship iterative improvements based on real user feedback.
- Collaborate with senior ML engineers and product teams under latency, cost, reliability, and safety constraints.
- Ensure production models, data pipelines, training loops, and inference systems meet accuracy, latency, reliability, robustness, reproducibility, and maintainability targets.
Requirements
- Strong foundations in machine learning and modern neural architectures.
- Some hands-on experience training, fine-tuning, or deploying machine-learning models.
- Ability to write production-quality code and learn new tools quickly.
- Curiosity, coachability, and willingness to learn from production systems.
- Ability to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
Benefits
- Interviews are conducted via virtual meetings and/or onsite.
- The interview process includes 3, and no more than 4, interviews with a prompt decision.
Categories
About Bjak
Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.